This article explores how Hewlett Packard Enterprise (HPE) is utilizing AI in everyday applications through strategic collaborations. It highlights specific case studies and partnerships that are facilitating the integration of AI technologies in various sectors such as healthcare, finance, and automotive. For additional insights from AI Field Day 7, check out further coverage by Techstrong AI.
Articul8’s Vision for Unique AI Models in the Enterprise
Articul8 is redefining enterprise capabilities by focusing on the development of unique AI models tailored to individual business needs. Their approach emphasizes custom solutions aimed at enhancing operational efficiency and fostering innovative problem-solving strategies. For more insights into Articul8’s impact on AI in the enterprise, explore coverage by Techstrong AI.
Beyond the Hype: Building a Resilient Data Foundation for AI
This article addresses critical strategies and challenges, emphasizing the need for accurate, secure, and scalable data environments to support significant advancements in AI applications. It focused on Nutanix’ capabilities, as presented at AI Field Day 7. Watch Techstrong AI for more coverage!
HYCU: End-to-End Data Protection for AI Workflows
HYCU offers comprehensive end-to-end data protection specifically designed for AI workflows, ensuring data integrity across various environments. Their solutions cater to the unique needs of AI applications, securing data from inception to insights. For more coverage of AI Field Day 7, subscribe to Techstrong AI.
From Blips to Breakthroughs: Scaling Autonomous IT with ignio
The article on Techstrong AI discusses how ignio, a flagship product from Digitate, leverages AI to transform IT operations by automating and optimizing tasks, thereby scaling autonomous capabilities in businesses. It highlights how ignio’s AI-driven platform not only predicts IT disruptions but also autonomously rectifies them, paving the way for more resilient digital infrastructure. For further coverage AI Field Day 7, subscribe to Techstrong AI.
The Hidden Complexity of Edge AI—And the Platform Built to Tame It
Jack Poller writes about ZEDEDA’s platform, that simplifies edge AI complexity by bringing cloud-style orchestration to distributed environments. It supports various workloads, automates lifecycle management, and enforces policies across heterogeneous devices, enabling enterprises to operationalize AI at the edge. Read more reactions to our recent Tech Field Day Showcase with ZEDEDA at Techstrong AI!
Qlik Answers and the Unstructured Frontier: What a Printer Assistant Taught Me About AI in Practice
In this article, Brian Booden explores how a simple printer assistant leveraging AI technology illuminated the broader applications of unstructured data handling in the enterprise environment. Booden discusses Qlik Answers’ capabilities in harnessing unstructured data, pushing forward the boundaries of what businesses can achieve with AI-driven analytics. This was part of a sponsored series of articles for Qlik at Techstrong AI.
HPE’s AI Factory: Bridging the Gap from Pilot to Production
Hewlett Packard Enterprise (HPE) is pioneering a structured approach to transitioning artificial intelligence (AI) projects from pilot stages to full-scale production through its initiative, the AI Factory. This strategic deployment aims to streamline the process and overcome common scalability challenges associated with AI implementations. For more insights from AI Infrastructure Field Day, watch Techstrong AI.
AI-Ready Storage Explained: Hammerspace’s Unified Data Solution
Hammerspace offers a unified data solution for AI workloads, aggregating storage infrastructure into a single namespace for high-speed data access and improved GPU utilization. They are also leading the Open Flash Platform initiative for efficient exabyte-scale data storage. Read more coverage of AI Infrastructure Field Day on Techstrong AI!
How CTERA Plans to Fix What’s Breaking Enterprise AI
CTERA is tackling the complexities that hinder enterprise AI by enhancing data management and storage solutions, ensuring robust and scalable infrastructure. By focusing on fixing bottlenecks related to data accessibility and management, CTERA aims to streamline operations and support advanced AI deployments. For more coverage of CTERA’s initiatives, follow updates by Jack Poller and others on Techstrong AI.
Transforming GPU-as-a-Service into AI Cloud with Rafay
The conversation around AI infrastructure often focuses on hardware, but the real opportunity lies in bridging the gap between renting raw GPU power and delivering a true, self-service AI cloud experience. A true AI cloud must offer self-service consumption, robust multi-tenancy, and an application-centric approach to simplify infrastructure complexity. Rafay’s platform helps GPU providers and enterprises build and operate AI clouds, offering automation, governance, and cost-effective solutions tailored for AI infrastructure. Watch for more coverage of AI Infrastructure Field Day on Techstrong AI!
How Broadcom’s Three-Chip Strategy Tackles AI’s Biggest Networking Bottleneck
Broadcom’s innovative three-chip strategy addresses significant networking bottlenecks in artificial intelligence (AI) by optimizing data movement efficiency across different network layers. Utilizing a combination of its Tomahawk, Jericho, and Ramon chips, the strategy enhances compute and storage connectivity, ensuring faster and more reliable data handling essential for AI applications. Find more coverage of AI Infrastructure Field Day by Jack Poller, watch Techstrong AI!
From GPU Gold Rush to Revenue Reality: How Mirantis k0rdent Transforms AI Infrastructure Dreams into Dollars
In the fast-evolving world of artificial intelligence, Mirantis is making waves with its k0rdent platform, revolutionizing how businesses capitalize on GPU-intensive workloads. This transformative tool not only optimizes AI infrastructure but also significantly enhances the operational efficiency and revenue streams of enterprises engaged in AI and machine learning endeavors. Additional insights and coverage on this topic have been provided by Jack Poller on Techstrong AI.
Enterprise AI Gets a Storage Upgrade: MinIO AIStor Scales from Labs to Production at Exabyte Scale
Jack Poller explores MinIO’s latest enterprise AI storage solution, AIStor, which promises scalability from small lab environments to large-scale production at an exabyte level. He highlights its architectural innovations and potential impact on accelerating AI workloads efficiently. For additional insights into Cloud Field Day 23, visit Techstrong AI’s extended coverage.
David vs. Goliath in AI Hardware: Signal65’s Independent Tests Reveal Gaudi 3’s Surprising Edge
Following the Futurum presentation at Cloud Field Day, Jack Poller examines the performance benchmarks of Habana Labs’ Gaudi 3 AI processor, revealing its competitive advantage over industry giants in AI hardware. Signal65’s independent testing highlights Gaudi 3’s enhanced processing capabilities, which could reshape expectations within the AI technology landscape. Find more coverage of Cloud Field Day 23 by visiting Techstrong IT and AI.
Securing the Future: Juniper’s Approach to AI Data Center Security
Alastair Cooke recently discussed Juniper Networks’ strategy in enhancing AI-driven data center security, highlighting their comprehensive approach to protect complex network environments. He emphasized how Juniper leverages AI to automate threat detection and response, ensuring a more resilient infrastructure. For additional insights on Cloud Field Day 23, you can read more from Alastair Cooke on Techstrong AI.
The Easy On-Ramp to Private AI with Nutanix Enterprise AI
Alastair Cooke recently highlighted how Nutanix is simplifying the integration of AI technologies within private infrastructures, positioning their Enterprise AI as an easy on-ramp for companies keen on adopting private AI solutions. He emphasized the platform’s ability to support various AI and machine learning workloads, enhancing agility and operational efficiency without compromising security. For more comprehensive insights, check out Alastair Cooke’s coverage of Cloud Field Day 23.
Breaking the AI Storage Bottleneck: Solidigm’s Strategic Approach to Each Pipeline Stage
Jack Poller provides an insightful analysis into how Solidigm is addressing the AI storage bottleneck by strategically catering to each stage of the data pipeline. He explores the technological advancements and solutions implemented by Solidigm that enhance both the efficiency and effectiveness of AI data processing. For more in-depth analysis on AI Infrastructure Field Day 2 by Jack Poller, visit Techstrong AI.
Feeding the Beast: How Keysight Ensures AI Networks Can Handle Data-Hungry GPUs
Jack Poller discusses how Keysight Technologies effectively addresses the challenges of maintaining robust networks that feed data to power-hungry GPUs, which are crucial for AI development. He explores Keysight’s innovative solutions that optimize network performance and reliability to meet the demands of intensive AI workloads. Discover more insights on AI Infrastructure Field Day 2 from Jack Poller at Techstrong AI.